Applied Scientist, Core Search

Description
The Amazon Search team's vision is to deliver high quality search results regardless of how customers phrase their search queries. Keyword-based search breaks down when confronted with natural language expressions. Queries like I have ants in my house, headphones comparable to Bose, breakfast foods for someone avoiding sugar, and scratch resistant flooring for dogs that looks like real wood require world knowledge, common-sense reasoning, and sophisticated language understanding that customers increasingly expect.

Core Search team is reimagining search architecture using Large Language Models (LLMs): a new LLM stack that already powers Amazon Search, Alexa+, Alexa for Shopping, Help Me Decide, Interests AI, confidential initiatives, and a growing portfolio of Amazon experiences across Stores and Devices. We build this stack as a primitive to supercharge a new generation of natural-language experiences across Amazon.

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